Large Language Models (LLMs) struggle with multistep planning because they generate text one token at a time without a built-in memory of the overall plan, leading to logical errors or the loss of the thread in complex sequences.

Authors

• Person: Not available Organization: Cutter Consortium
  Building Better Agentic Systems with Neuro-Symbolic AI

Sources

• Building Better Agentic Systems with Neuro-Symbolic AI www.cutter.com Cutter Consortium via serper

Referenced by nodes (2)

• Large Language Models concept
• memory concept